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I like to start off talks about reproducibility in science with some humor. This video is a few years old, but it has some timeless insights.
https://www.youtube.com/embed/66oNv_DJuPc
What’s the point? That even the most well-meaning of us can make careless errors that undermine the reproducibility of science.
But, is it a crisis?
In 2016, Nature published the results of a survey of 1,500 scientists (Baker 2016). They were asked a number of questions, including the following:
source(params$supporting_functions)
survey <- readr::read_csv(params$survey_data_fn)
survey$crisis <- ordered(survey$crisis, c("Significant", "Slight", "No crisis", "Don't know"))
survey %>%
dplyr::filter(., !is.na(crisis)) %>%
ggplot2::ggplot(.) +
aes(x = crisis, fill = crisis) +
geom_bar(stat = "count") +
scale_y_discrete(breaks = c(0, 5, 10, 15), limits = 0:15)